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. 2016 Sep 8;10:93. doi: 10.3389/fncom.2016.00093

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Copyright © 2016 Spiess, George, Cook and Diehl.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Development of inferred responses in population C. The left plot shows the amount of noise o_noise in the spiking activity in population C of the three-way network. The two algorithms using pruning decrease the amount of noise faster. The right plot shows the error of the inference. The error is calculated as the difference of the mean of the spiking activity in C and the target value A + B. Clearly visible is the faster convergence of the bookkeeping with pruning and the Gaussian convolution algorithm.